CBTS

Senior Data Engineer(no Third Party, CTH, Only W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of 6 months, offering $70 - $75/hour on W2. Key skills include Microsoft Fabric, Azure services, SQL, Python, and experience in data warehousing and integration. 5+ years of relevant experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
June 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#BI (Business Intelligence) #Azure ADLS (Azure Data Lake Storage) #Python #Compliance #Data Warehouse #Data Engineering #Visual Studio #Data Lake #Data Integration #Storage #Agile #Azure DevOps #Data Governance #ML (Machine Learning) #Azure #Azure Repos #ADF (Azure Data Factory) #DevOps #Cloud #Azure cloud #Spark (Apache Spark) #SQL (Structured Query Language) #Automation #ADLS (Azure Data Lake Storage) #Microsoft Power BI #Synapse #Azure Blob Storage #PySpark #Data Pipeline #Deployment #Oracle #Security
Role description
Job Details: Pay Rate: $70 - $75/hour on W2 Must Have Skills: • Deep experience with Microsoft Fabric OneLake, Data Warehousing, Data Engineering, Data Integration, Medallion Lakehouse Architecture, Data Product Design Patterns, and Deployment strategies within the Fabric ecosystem. • Experience with Microsoft VS Code, Visual Studio, Azure DevOps, Azure Repos, ADF, Azure Blob Storage, Azure Data Lake Storage Gen2, Fabric, Lakehouse, Warehouse, Eventhouse, Pipelines, Spark Notebooks, Synapse, SQL/T-SQL, Power BI. • Knowledge of any of the following would be a plus: MS Purview, Fabric ML, Oracle Fusion ERP, EPM, CPQ, OTM, SplashBI. • Fabric Engineer - migrate data to Azure • ADO, Devop repo, CI/CD, Python • Code automation (Claude code) Qualifications: • 5+ years of experience in Data Engineering or Data Platform Engineering • Strong experience with Azure cloud data services and Microsoft Fabric • Experience building enterprise-scale data pipelines and data warehouse solutions • Strong SQL and Python/PySpark development skills • Experience with dimensional modeling and enterprise reporting frameworks • Experience integrating ERP and operational systems into centralized data platforms • Understanding of data governance, security, and compliance best practices • Experience working in Agile delivery environments